Update app.py

app.py

@@ -26,11 +26,9 @@ def food_not_food_classifier(text: str) -> Dict[str, float]:
 
 # 3. Create a Gradio interface with details about our app
 description = """
-A text classifier to determine if a sentence is about food or not food. 
-
-Fine-tuned from [DistilBERT](https://huggingface.co/distilbert/distilbert-base-uncased) on a [small dataset of food and not food text](https://huggingface.co/datasets/mrdbourke/learn_hf_food_not_food_image_captions).
-
-See [source code](https://github.com/mrdbourke/learn-huggingface/blob/main/notebooks/hugging_face_text_classification_tutorial.ipynb).
+a text classifier to determine question class.
+label0 = durga
+label1 = muhammad
 """
 
 demo = gr.Interface(fn=food_not_food_classifier,